Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping

Yasmine Probst; Duc Thanh Nguyen; Minh Khoi Tran; Wanqing Li

doi:10.3390/nu7085274

Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping

Nutrients. 2015 Jul 27;7(8):6128-38. doi: 10.3390/nu7085274.

Authors

Yasmine Probst¹, Duc Thanh Nguyen², Minh Khoi Tran³, Wanqing Li⁴

Affiliations

¹ School of Medicine, University of Wollongong, Wollongong, NSW 2522, Australia. yasmine@uow.edu.au.
² School of Computing and Information Technology, University of Wollongong, Wollongong, NSW 2522, Australia. dtn156@uowmail.edu.au.
³ Faculty of Information Technology, University of Science Ho Chi Minh City 70000, Vietnam. minhkhoitran2@gmail.com.
⁴ School of Computing and Information Technology, University of Wollongong, Wollongong, NSW 2522, Australia. wanqing@uow.edu.au.

Abstract

Dietary assessment, while traditionally based on pen-and-paper, is rapidly moving towards automatic approaches. This study describes an Australian automatic food record method and its prototype for dietary assessment via the use of a mobile phone and techniques of image processing and pattern recognition. Common visual features including scale invariant feature transformation (SIFT), local binary patterns (LBP), and colour are used for describing food images. The popular bag-of-words (BoW) model is employed for recognizing the images taken by a mobile phone for dietary assessment. Technical details are provided together with discussions on the issues and future work.

Keywords: food image; food record; image processing; mHealth; pattern recognition.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Australia
Cell Phone*
Diet
Diet Records*
Humans
Image Processing, Computer-Assisted*
Models, Theoretical
Nutrition Assessment*
Photography*